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        <identifier>oai:drops-oai.dagstuhl.de:8743</identifier>
        <datestamp>2024-03-06T10:42:33Z</datestamp>
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          <dc:title>3D Snap Rounding</dc:title>
          <dc:creator>Devillers, Olivier</dc:creator>
          <dc:creator>Lazard, Sylvain</dc:creator>
          <dc:creator>Lenhart, William J.</dc:creator>
          <dc:subject>Geometric algorithms</dc:subject>
          <dc:subject>Robustness</dc:subject>
          <dc:subject>Fixed-precision computations</dc:subject>
          <dc:description>Let P be a set of n polygons in R^3, each of constant complexity and with pairwise disjoint interiors. We propose a rounding algorithm that maps P to a simplicial complex Q whose vertices have integer coordinates. Every face of P is mapped to a set of faces (or edges or vertices) of Q and the mapping from P to Q can be done through a continuous motion of the faces such that (i) the L_infty Hausdorff distance between a face and its image during the motion is at most 3/2 and (ii) if two points become equal during the motion, they remain equal through the rest of the motion. In the worst case, the size of Q is O(n^{15}) and the time complexity of the algorithm is O(n^{19}) but, under reasonable hypotheses, these complexities decrease to O(n^{5}) and O(n^{6}sqrt{n}).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Olivier Devillers and Sylvain Lazard and William J. Lenhart</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 99, 34th International Symposium on Computational Geometry (SoCG 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SoCG.2018.30</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-87438</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2018.30</dc:identifier>
          <dc:language>eng</dc:language>
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